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Forecasting Flicker Severity by Grey Predictor

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2 Author(s)
G. W. Chang ; Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan, R.O.C. ; H. J. Lu

Rapid voltage fluctuations in an electric power network may produce significant levels of flickers, which have negative impacts on human eyes and power system components. This paper proposes a grey predictor model for the forecast of the flicker severity level associated with operating a large electric arc furnace load. Actual measured flicker index data are adopted to implement the predictor model. Test results based on the proposed model are compared with another neural-network-based method. It shows that a more accurate forecast is achieved by using the proposed grey predictor model.

Published in:

IEEE Transactions on Power Delivery  (Volume:27 ,  Issue: 4 )